Floor Bot-Floor Vacuum Cleaning Robot
Creators
- 1. Department of Computer Science, St. Albert's College, Ernakulam (Kerala), India
- 1. Department of Computer Science, St. Albert's College, Ernakulam (Kerala), India.
Description
Abstract: Floor sweeping is a task we need to do every day, sometimes more than twice. It’s an important part of maintaining a healthy and clean lifestyle. However, it can be a difficult task for many; it can take hours to clean properly, especially when there is a lot of dust that doesn’t just go away with sweeping. Vacuum cleaners were a great innovation that simplified the cleaning process, and we have vacuum cleaners everywhere because of their functionality. However, they still require manual operation, as we need to do it ourselves. This project aims to create a simple floor-cleaning vacuum robot that can efficiently vacuum the floor using a vacuum pump mechanism as its main component, along with some sensors: ultrasonic sensors to detect obstacles, and infrared sensors to detect proximity and avoid falling down steps. It will also include a wheel mechanism for movement
Files
D40910412423.pdf
Files
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Additional details
Identifiers
- EISSN
- 2231-2307
- DOI
- 10.35940/ijsce.D4091.14060125
Dates
- Accepted
-
2025-01-15Manuscript received on 27 March 2024 | First Revised Manuscript received on 27 October 2024 | Second Revised Manuscript received on 17 November 2024 | Manuscript Accepted on 15 January 2025 | Manuscript published on 30 January 2025
References
- Yatmono, Sigit & Khairudin, Mohammad & Sigit Pramono, Herlambang & Asmara, Andik. (2019). Development of Intelligent Floor Cleaning Robot. Journal of Physics: Conference Series. 1413. 012014. https://doi.org/10.1088/1742-6596/1413/1/012014
- Vyas, Akanksha & Chourasia, Satyam & Antapurkar, Shubham & Prasad, Raghvendra. (2020). ARDUINO BASED DRY & WET AUTOMATIC FLOOR CLEANER. International Journal of Engineering Technologies and Management Research. 5. 14-18. https://doi.org/10.29121/ijetmr.v5.i2.2018.607
- S. M. B. P. Samarakoon, M. A. V. J. Muthugala, A. Vu Le and M. R. Elara,(2020) "hTetro-Infi: A Reconfigurable Floor Cleaning Robot With Infinite Morphologies," in IEEE Access, vol. 8, pp. 69816-69828, https://doi.org/10.1109/ACCESS.2020.2986838
- Irawan, Yuda & Muhardi, Muhardi & Ordila, Rian & Diandra, Roni. (2021). Automatic Floor Cleaning Robot Using Arduino and Ultrasonic Sensor. Journal of Robotics and Control (JRC). 2. https://doi.org/10.18196/jrc.2485
- Kumbhar, Vijayalaxmi & Jagtap, Dnyaneshwari & Kulkarni, Mansi & Lakade, Salim. (2021). AUTONOMOUS FLOOR CLEANING ROBOT. International Journal of Research in Engineering and Technology. 2395-0056. https://youtu.be/hoY2YxLGV98
- Barve, Prof. (2020). The Floor Cleaning Robot Design and Operation. International Journal for Research in Applied Science and Engineering Technology. 8. 677-679. https://doi.org/10.22214/ijraset.2020.32249
- Chandan Kumar, Ashutosh Kumar Singh, Rajneesh Pandey, Autonomous House Floor Cleaning Robot. (2019). In International Journal of Recent Technology and Engineering (Vol. 8, Issue 2S11, pp. 2094–2097). https://doi.org/10.35940/ijrte.b1207.0982s1119
- P., R., K, A., R., A., M., E., & R., H. P. (2020). Solar Powered Unmanned Cleaning Robot. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 6, pp. 451–454). https://doi.org/10.35940/ijeat.f1539.089620
- Chitroda, M., & Patle, Dr. B. K. (2023). A Review on Technologies in Robotic Gripper. In International Journal of Advanced Engineering and Nano Technology (Vol. 10, Issue 5, pp. 1–5). https://doi.org/10.35940/ijaent.c7232.0511523
- Mishra, R., Mohapatra, M., Shah, S. K., & Ghosh, T. (2019). Design of a Robotic Arm. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 1, pp. 2639–2641). https://doi.org/10.35940/ijitee.a6122.119119
- Ryali, V., Kumari, S., Anwar, S. M. N., & S V, Dr. S. (2022). Empathetic Robot for the Elderly using Machine Learning. In International Journal of Soft Computing and Engineering (Vol. 12, Issue 3, pp 8–11). https://doi.org/10.35940/ijsce.c3578.0712322